Study develops new way of identifying cancer cells

A new method of separating cancer cells from non-cancer cells has been developed by researchers at the Wellcome Sanger Institute, in a boost for those working to better understand cancer biology using single-cell mRNA sequencing.

Assigning moving features in high-speed atomic force microscopy

Researchers at Kanazawa University report in Biophysics and Physicobiology how to optimize high-speed atomic force microscopy experiments on live cell membranes, so that moving objects like molecules can be properly followed ...

Harnessing machine learning to analyze quantum material

Electrons and their behavior pose fascinating questions for quantum physicists, and recent innovations in sources, instruments and facilities allow researchers to potentially access even more of the information encoded in ...

New software to help discover valuable compounds

As a postdoctoral research associate in the lab of BTI faculty member Frank Schroeder, Max Helf saw his labmates continually struggle when they were analyzing data. So, he decided to do something about it and developed a ...

Insights through atomic simulation

A recent special issue of the Journal of Chemical Physics highlights Pacific Northwest National Laboratory's (PNNL) contributions to developing two prominent open-source software packages for computational chemistry used ...

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